Krutrim LLM family is a Multilingual LLM from Krutrim (India).
One-line fit: best used for India consumer/enterprise apps.
Key specifications
| Provider | Krutrim |
|---|---|
| Model | Krutrim LLM family |
| Type | Multilingual LLM |
| Context window | Large |
| Pricing (indicative) | API/product |
| Company category | India Foundation Models |
| Region | India |
| Official site | https://olakrutrim.com |
Benchmarks and public standing
Indic + English domestic evals
Treat scores as directional. SWE-bench, Terminal-Bench, LMSYS Arena, Artificial Analysis, and vendor cards use different harnesses and are not always comparable 1:1. Re-check the latest official model card before decisions.
What this model is good at
India consumer/enterprise apps
This aligns with Krutrim’s broader strengths:
- India sovereign narrative
- Multilingual India
- Ola ecosystem ambitions
Limitations and watch-outs
Still scaling vs global frontier
- Rate limits, regional availability, and data retention policies vary by plan.
- Agent harness quality (Cursor, Claude Code, Codex, custom tools) can change outcomes more than raw model Elo.
- Open-weight availability (if any) is separate from hosted API quality and safety filters.
Ideal users
- Product engineers shipping features that match: India consumer/enterprise apps
- Teams standardizing on the Krutrim ecosystem
- Agent builders who need a Multilingual LLM
When to pick something else
- Cheaper volume: compare lower tiers from the same lab or open Chinese/EU alternatives.
- Maximum hard SWE thoughtfulness: compare Claude Fable-class and other coding flagships.
- Giant multimodal corpora / Workspace: compare Gemini-class models.
- Self-host / open weights: Llama, Qwen, DeepSeek, GLM, Mistral open lines.
Parent company
Krutrim – Ola AI venture building Krutrim models and compute for India-first AI stack.
Related models from Krutrim
Data is curated for AIForumSphere model directory mid-2026 directional figures.
